Image by Ramón Salinero

SUJAN SHIROL

Data Scientist @ Rolls-Royce

Technical Writer/Editor

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Data science blogger and open-source contributor. Ex-Wipro (Python Developer), Graduate in Masters of Technology in Data Science and Machine Learning from PES University, India.
Specialized in Machine Learning, Data Analysis, and Statistical Decision Making. Fair experience with BI tools like Tableau. 3x Kaggle Expert. Currently working on my thesis project. Looking for a full-time role in Machine Learning / Data Science.
Find links to all my work by clicking the below icons.

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WORK EXPERIENCE

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DATA SCIENCE,
ROLLS-ROYCE

  • Building ML models.

  • Skills: Python, Machine Learning, Deep Learning

August 2022 - Present

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DATA SCIENCE INTERN, FLEEK

May 2022 - July 2022

  • End-to-end experimenting and developement of SMS and E-mail Parser: Requirement gathering, codebase of GitHub, DVC, NumPy style documentation, Sphinx documentation.

  • In-depth research and documentation on MLOps tools & techniques to monitor models in production.

  • Models: SentencePiece, Casual Language Modeling, Named Entity Recognition, Cosine Similarity Clustering

  • Skills: Python, PyTorch, Machine Learning, NLP, MLOps, DVC, Sphinx, Git

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DATA SCIENCE INTERN,
MSYS TECHNOLOGIES

November 2021 - April 2022

  • Single-handedly built a Recommendation System for Vending Machines on 2+ million live sale data.

  • This project aims to help the vending machine operator to gain optimal sales by addressing three central questions: what product to stock when to stock up, and what location to stock.

  • Combining time-series forecasting, machine learning, and data mining techniques.

  • I created an ensemble forecasting algorithm for time series.

  • Models: Exponential Smoothing, ARIMA, Apriori, Association Rule

  • Skills: MLOps, DVC, Sphinx, NLP, Git, Machine Learning, Python

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Technical Writer 

June 2021 - Present

  • Produce high-quality, highly technical articles and other technical work in the field of machine learning & artificial intelligence.

  • Skills: Data Science, Editing, Technical Writing, Machine Learning

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SOFTWARE ENGINEER, MACHINE LEARNING (INTERN),
TOWARDS AI

December 2021 - June 2021

Writing, coding, and developing state-of-the-art Data Science and Machine Learning tutorials like :

  1. Random Number Generator Tutorial with Python

  2. Genetic Algorithm (GA) Introduction with Example Code

  3. K-Nearest Neighbors (KNN) Algorithm Tutorial — Machine Learning Basics

  4. Support Vector Machine (SVM) Introduction — Machine Learning

Skills: Data Science · Writing · Editing · Machine Learning

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PROJECT ENGINEER, WIPRO LIMITED

June 2019 - October 2020

  • Intelligent Factory Assessment and Recommendation Tool. The tool takes an analytical approach and provides the Intelligent Factory Index, which in turn comprises Connected, Contextual, Optimized, and Self Aware Indices.

  • Coordinated with hardware and system engineering leads to gather and develop system requirements.

  • Designed, implemented, and monitored web pages and sites for continuous improvement.

  • Skills: Python scripting, Statistics, analytics, Flask framework.

EDUCATION

 

July 2020 - August 2022

MASTERS OF TECHNOLOGY IN DATA SCIENCE AND MACHINE LEARNING,
PES UNIVERSITY

Graduated

Achievements: Thesis work in partnership with MSys Technologies on an experimental project.

SGPA: 9.36

August 2015 - July 2019

BACHELOR OF ENGINEERING IN COMPUTER SCIENCE,

RNS INSTITUTE OF TECHNOLOGY

Visvesvaraya Technological University
CGPA: 7.1
No backlog history.

January 2013 - March 2015

SENIOR SECONDARY EDUCATION IN SCIENCE,

VISION PU COLLEGE

Karnataka State Board
Physics, Chemistry, Mathematics, and Biology
Score: 74%

June 2011 - March 2012

Central Board of Secondary Education
CGPA: 8.6

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Python

Two years of industry experience. I'm friends with Python for 5+ years.

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Data Analytics

Visualizing data with Tableau. Business insights with Pandas, Seaborn, Plotly.

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Natural Language Processing

Proficiency in TensorFlow and PyTorch, Gensem, NLTK. Projects on Text analysis, text classification, text generation

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Technical Writing

Technical Blogger is my passion. Freelancing with US clients. Created amazing ML tutorials.

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Machine Learning

Worked on various projects involving different ML algorithms including regression, classification, recommendation. 

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Deep Learning

Proficiency in TensorFlow and PyTorch. Projects on CNN, GAN, Object Detection/Localization

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Statistics

Built projects to make statistical business decisions. Published simple tutorial to make Hypothesis testing easier.  

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SQL

Hands-on MySQL Workbench. Projects demonstrating complex queries and window functions.

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Web Development

Industry experience in working with Flask, HTML, CSS, Jquery, JSON, and AJAX.

 
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PROJECTS

 

WHAT I CAN OFFER YOU

FEATURED BLOGS

 
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This tutorial will be diving into genetic algorithms in detail and explaining their implementation in Python. We will also explore the different methods involved in each step diagrammatically. As always, we are including code for reproducibility purposes. We have split the code when required while exploring the different steps involved during our implementation.